Z-score


Also found in: Dictionary, Medical, Encyclopedia.
Related to Z-score: T-score, Altman Z-Score

Z-Score

In statistics, a quantification of the distance of a datapoint from the average of a set of datapoints. A z-score of zero indicates that that the data point is equal to the mean or average. It is often used to measure a person's or company's likelihood of bankruptcy.

Z-score

a composite score, summarizing the weighted results of a number of ACCOUNTING RATIOS, that claims to predict a company's likelihood of failure. Z-scores were developed by distinguishing the values of various performance-and-liquidity ratios for companies which had gone bankrupt and for those which had prospered. Those accounting ratios which proved t o discriminate effectively between failed companies and successful ones were incorporated in a standard formula to calculate an aggregate Z-score. Analysts can calculate Z-scores for particular companies, and use the results to try to predict whether companies are likely to fail.
References in periodicals archive ?
Name, father's name, gender, weight, height, status of height and weight on WHO Z-score charts, and marks obtained in the test were recorded on a data sheet.
The length, weight, age and mid upper-arm circumference of each child was obtained to calculate z-scores for weight-for-age (underweight), height-for-age (stunting) and weight-for-height (wasting), as per the WHO Growth Standards [16].
The effect of GH therapy was evaluated by calculating the difference in Ht Z-score after 12 months ([DELTA]Ht 0-12) to determine the short-term value and upon reaching final height ([DELTA]Ht 0-FH) for the long-term value.
This finding shows that the cost-reduction channel dominates the signaling value after controlling for observable borrower and loan characteristics, including borrowers' quality measures of Z-score and credit rating.
4 Weight gain z-score (mean [+ or -] SD) 0:09 [+ or -] 1 :0 Rapid growth (yes) n (%)) (a) 270 (24) BMI (kg/m2) (mean [+ or -] SD) 17 .
A multivariable linear regression model was developed to assess the independent effect of difficulty buying food on BMI z-score, adjusting for potential confounding variables, which were age, sex, mother's BMI, birthweight, maternal education, immigration status and ethnicity, neighbourhood income, and juice and sweetened beverage intake, included as a potential confounder because of its association with BMI z-score in previous analyses.
The quality of full length models were predicted by z-score (Z-score >6).
It is calculated using height for age (HAZ) z-scores and were classified as moderate z-score (-3 SD) to severe (<-3SD).
Keywords: Profit Efficiency, Financial Soundness, Financial Regulations, Data Envelopment Analysis, Z-Score, Differential Effects
The index was log-transformed to provide an approximation of a normal distribution and expressed in quintiles of z-score, with the highest score classified as "excess adiposity".